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From our previous experience with microarray studies, significant variations between expression levels determined by microarray analysis or qPCR have not been observed [33].
Our technique guarantees the isolation of sufficient high quality RNA obtained from specific cell populations of the brain expressing soluble fluorescent marker, which is a critical prerequisite for subsequent gene expression studies by microarray analysis or qRT-PCR.
Selected genes deemed statistically significant (as described below in the Statistical analysis section) by microarray analysis or nCounter system were further assessed by qPCR.
Ensembl has made a first attempt at annotating these sequences genome-wide by producing a 'regulatory build' based on data from ChIP-Chip[ 18] and ChIP-Seq [ 19] experiments (chromatin immunoprecipitation followed by microarray analysis or sequencing, respectively).
Such transcriptomic approaches have been undertaken for different plant-oomycete interactions either by microarray analysis or alternative, open-architecture technologies, thus revealing novel information about pathogen genes [ 24- 29].
Therefore, coexpression of homoelogous genes revealed by microarray analysis (or other methods) does not guarantee that both gene copies are treated equally by the genome, as mRNA sequence variations cannot be detected using these approaches.
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MicroRNA expression was then analyzed by microarray analysis (miCHIP) or microRNA-specific real-time quantitative PCR (miQPCR).
In this study, we determined the most reliable way to detect the expression of tumor cell-derived genes by microarray analysis: macrodissection or microdissection.
The first genome-wide analyses were microarray based, and involved immunoprecipitation of RBP RNA complexes using an antibody to the endogenous protein or to an epitope tag (denoted as RNA immunoprecipitation followed by microarray analysis, RIP-chip or high-throughput sequencing, RIP-seq).
Neither rrnAP1 nor dnaK were significantly differentially expressed, as determined by microarray analysis, in intracellular or H37Rv/Ra comparisons in this study.
Approximately 100 target genes were identified by microarray analysis after overexpressing or silencing the human PLU-1/JARID1B gene in human mammary epithelial cells using adenovirus and RNA interference systems, respectively.
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by immunofluorescence analysis or
by gene analysis or
by microarray technology or
by note analysis or
by segregation analysis or
by subcomponent analysis or
by weight analysis or
by image analysis or
by exergy analysis or
by mutation analysis or
by microarray hybridization or
by orbital analysis or
by linkage analysis or
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